Package ai.libs.jaicore.ml.classification.loss.dataset
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Interface Summary Interface Description IPredictedClassPerformanceMeasure -
Class Summary Class Description AAreaUnderCurvePerformanceMeasure APredictionPerformanceMeasure<E,P> AreaUnderPrecisionRecallCurve AreaUnderROCCurve ASingleLabelClassificationPerformanceMeasure AveragedInstanceLoss ErrorRate F1Measure FalseNegatives FalsePositives FMeasure Precision Recall TrueNegatives TruePositives WeightedAUROC Computes the AUROC weighted by class sizes, that is, it first computes the size of each class, then computes AUROC in a one-vs-rest fashion and balances the final score proportional to the size of each class. -
Enum Summary Enum Description EAggregatedClassifierMetric EClassificationPerformanceMeasure